Cost Comparison

A dedicated AI expert vs hiring in-house

Senior AI depth in days, from $3,000/mo full-time, with no recruiter fee, no onboarding ramp, and no retention risk

Side by Side

How We Compare

Cost (Year 1)

In-House

$200K-400K loaded salary + ~$30K recruiter fee

FRE|Nxt Labs

$36K-60K (12 months of one dedicated expert)

Time to First Output

In-House

3-6 months (hiring + onboarding)

FRE|Nxt Labs

About 1 week (expert starts in ~3 days)

Expertise

In-House

Limited to the one person you can hire and retain

FRE|Nxt Labs

6+ yrs eng, 1+ yr AI to production, vetted via InterviewLM

Flexibility

In-House

Permanent headcount, cannot flex down

FRE|Nxt Labs

Month to month, stop when the work is done

Risk

In-House

Hiring miss, attrition, single point of failure

FRE|Nxt Labs

Lab-backed match, clean documented handoff

Pricing model

In-House

Salary + benefits + overhead + recruiter

FRE|Nxt Labs

Transparent flat monthly rate, no markup, no minimums

The Numbers

The Math is Simple

A senior AI/ML engineer

$180K-250K/year salary + $40K-90K benefits & overhead

Plus recruiter fee and ramp

~$30K-50K recruiter, 3-6 months before first output

A dedicated FRE|Nxt expert

$3,000/mo founding rate ($5,000 standard), full-time, starts in ~3 days

The bottom line

A full year of a dedicated expert ($36K-60K) is less than a third of one loaded in-house hire, available in days instead of months

What You Get

Why Teams Choose Us

Senior Depth, On Demand

A hand-vetted senior AI expert with production experience in multi-agent systems, RAG, and LLM cost optimization, matched to your problem.

Days, Not Months

Expert starts in about 3 days, first visible output in about a week. No req approval, no hiring funnel, no onboarding ramp.

No Lock-In

Flat $3,000/mo founding rate, month to month. Scale the engagement or stop with a clean, documented handoff. Your team owns everything.

Results

Proven Impact

8

Production AI agents deployed

50-70%

LLM cost reduction

5-10x

Throughput improvement

<2s

Response latency

FAQ

In-house hire vs dedicated expert

Is a dedicated AI expert cheaper than hiring in-house?

For most teams, yes, especially in year one. A loaded in-house senior AI hire costs $200K to $400K per year plus a recruiter fee of around $30K, and takes 3 to 6 months before they ship. A dedicated FRE|Nxt expert is $3,000 per month at founding rate ($5,000 standard), full-time, starting in about 3 days, with no recruiter fee and no retention risk.

What do I get for $3,000 per month?

One hand-vetted senior AI expert embedded with your team full-time (about 22 working days per month). They have 6+ years of engineering experience with at least 1 year shipping AI to production, are vetted through InterviewLM, and are matched to your specific problem. No project minimums, no retainers, no agency markup.

What happens when the engagement ends?

You get a clean, documented, production-ready handoff and your team owns everything. Billing is month to month, so you continue only while it is worth it. There is no long-term lock-in and no severance or retention overhead the way there is with an employee.

Why would I not just hire someone full-time?

Hiring is the right call when the AI work is permanent, core, and large enough to keep a senior specialist fully utilized for years. Until then, a dedicated expert gives you the same senior depth in days instead of months, at a fraction of the loaded cost, with the flexibility to stop when the work is done.

Get senior AI depth in days

Skip the recruiter fee and the 3 to 6 month ramp. A hand-vetted senior AI expert, embedded with your team, from $3,000/mo.